Evidence map›Paper›PMID 30759789›Full record

ArticleSensors (Basel, Switzerland)2019

A Non-Invasive Medical Device for Parkinson's Patients with Episodes of Freezing of Gait.

Catalina Punin, Boris Barzallo, Roger Clotet, Alexander Bermeo, Marco Bravo, Juan Pablo Bermeo, Carlos Llumiguano

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Wearable Online Freezing of Gait Detection and Cueing System.Bioengineering (Basel, Switzerland) · 2024
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  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Catalina PuninTelecommunications Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. bpunin@ups.edu.ec.ORCID 0000-0001-8973-8930
Boris BarzalloTelecommunications Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. bbarzallo@ups.edu.ec.ORCID 0000-0003-1975-5625
Roger ClotetNetworks and Applied Telematics Group, Universidad Simón Bolívar, Caracas 89000, Venezuela. clotet@usb.ve.ORCID 0000-0001-7474-7674
Alexander BermeoTelecommunications Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. abermeo@ups.edu.ec.
Marco BravoTelecommunications Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. mbravog@ups.edu.ec.
Juan Pablo BermeoTelecommunications Research Group, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. jbermeo@ups.edu.ec.ORCID 0000-0003-0191-1538
Carlos LlumiguanoNeurology department, Hospital Vozandes Quito, Quito 170521, Ecuador. carlos.llumiguano@yahoo.com.
Politecnica Salesiana University · ECHospital Vozandes · ECSimón Bolívar University · VE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical symptom of Parkinson's disease (PD) is the occurrence of Freezing of Gait (FOG), an episodic disorder that causes frequent falls and consequential injuries in PD patients. There are various auditory, visual, tactile, and other types of stimulation interventions that can be used to induce PD patients to escape FOG episodes. In this article, we describe a low cost wearable system for non-invasive gait monitoring and external delivery of superficial vibratory stimulation to the lower extremities triggered by FOG episodes. The intended purpose is to reduce the duration of the FOG episode, thus allowing prompt resumption of gait to prevent major injuries. The system, based on an Android mobile application, uses a tri-axial accelerometer device for gait data acquisition. Gathered data is processed via a discrete wavelet transform-based algorithm that precisely detects FOG episodes in real time. Detection activates external vibratory stimulation of the legs to reduce FOG time. The integration of detection and stimulation in one low cost device is the chief novel contribution of this work. We present analyses of sensitivity, specificity and effectiveness of the proposed system to validate its usefulness.

Indexed as

AccelerometryAgedAged, 80 and overAlgorithmsEquipment and SuppliesFemaleGaitGait Disorders, NeurologicHumansLower ExtremityMaleMiddle AgedMonitoring, PhysiologicParkinson DiseasePhysical Functional PerformanceSensitivity and Specificityclinical assessmentdiscrete wavelet transformfreezing of gaitneurodegenerative disordersParkinson’s diseasesensorsvibratory stimulus

Identifiers

PMID30759789
PMCPMC6387047
OpenAlexW2911699880

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.